At a Glance
- Tasks: Lead innovative AI/ML research and shape product features at Thomson Reuters Labs.
- Company: Join the cutting-edge AI Research & Development team at Thomson Reuters.
- Benefits: Enjoy flexible work, comprehensive benefits, and career growth opportunities.
- Other info: Be part of a culture that values inclusion, work-life balance, and social impact.
- Why this job: Make a real-world impact by solving complex problems in legal, tax, and media sectors.
- Qualifications: PhD or Master’s in relevant fields with 7+ years of hands-on AI/ML experience.
The predicted salary is between 100000 - 140000 € per year.
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state‑of‑the‑art artificial intelligence and machine learning.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry‑leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities.
About The Role: As a Lead Applied Scientist, you will define research strategy and lead high‑impact initiatives that shape Thomson Reuters’ AI/ML roadmap across multiple product features. You will drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs, establishing best practices and technical vision. You will provide thought leadership internally and externally, mentoring scientists across Labs and leading stakeholder engagement. You will develop a deep understanding of customer problems and the data that informs them.
About You:
- PhD or Master’s degree with equivalent industry experience in Computer Science, Machine Learning, or related field
- 7+ years of hands‑on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques
- Demonstrated experience leading through others in cross‑functional teams to deliver end‑to‑end AI capabilities
- Strong product mindset with ability to translate complex customer problems into successful AI applications
- Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes
- Outstanding communication and analytical skills
- Deep expertise in RAG architectures, agentic frameworks, tool‑using systems, and evaluation methodologies
- Significant experience developing novel methods for complex professional domains such as medical, tax, or law
- Publications at top‑tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)
- Experience delivering production code with well‑managed software/MLOps practices
What’s in it For You?
- Hybrid Work Model: flexible hybrid working environment (2–3 days a week in the office depending on the role)
- Flex My Way: supportive workplace policies designed to help manage personal and professional responsibilities, allowing up to 8 weeks of work from anywhere per year.
- Career Development and Growth: culture of continuous learning and skill development, including Grow My Way programming and skills‑first approach.
- Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, two company‑wide mental health days off, access to Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial well‑being.
- Culture: globally recognized reputation for inclusion and belonging, flexibility, work‑life balance, etc.
- Social Impact: two paid volunteer days off annually and opportunities to get involved with pro‑bono projects and ESG initiatives.
- Making a Real‑World Impact: helping customers pursue justice, truth, and transparency.
Our use of AI within the recruitment process supports parts of our global recruitment. Unless you opt‑out, the AI system will assess the information provided and compare it to the requirements listed for the role, presenting the result to our recruitment personnel for further review. This tool assists human decision‑making. In the United States, Thomson Reuters offers a comprehensive benefits package, including flexible work‑life benefits and a competitive 401(k) plan with company match. We are proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities and for sincerely held religious beliefs in accordance with applicable law.
Lead Applied Scientist employer: Thomson Reuters
Thomson Reuters Labs is an exceptional employer, offering a dynamic work environment at the cutting edge of AI research and development. With a strong commitment to employee growth through continuous learning initiatives and a flexible hybrid work model, we prioritise work-life balance and well-being. Our inclusive culture fosters collaboration and innovation, making it a rewarding place for professionals eager to make a meaningful impact in the legal, tax, and media sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Thomson Reuters. A friendly chat can open doors and give you insights into the company culture and current projects.
✨Tip Number 2
Show off your expertise! Prepare to discuss your past projects and how they relate to AI/ML. Be ready to explain complex concepts in simple terms – it shows you understand your stuff and can communicate effectively.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors. Focus on articulating your thought process when tackling problems, as this is key for a Lead Applied Scientist role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Thomson Reuters.
We think you need these skills to ace Lead Applied Scientist
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about solving real-world problems and innovating in this space!
Tailor Your Experience:Make sure to highlight your relevant experience in applied research and leadership. We’re looking for specific examples of how you've driven innovation and led teams, so don’t hold back on those details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. Avoid jargon unless it’s absolutely necessary!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your information and ensures you’re considered for both current and future opportunities!
How to prepare for a job interview at Thomson Reuters
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your hands-on experience with production systems, especially in areas like NLP or GenAI. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Lead Applied Scientist, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully guided projects and mentored others. Highlight your thought leadership and how you've influenced product roadmaps in previous roles.
✨Understand Customer Needs
Dive deep into understanding the customer problems relevant to the role. Be prepared to discuss how you've translated complex issues into successful AI applications. This shows that you have a strong product mindset and can align your research with business outcomes.
✨Communicate Clearly
Outstanding communication is key! Practice explaining complex concepts in simple terms. You might be asked to present your ideas or findings, so being able to articulate your thoughts clearly will set you apart from other candidates.
